Overview / Description
Flopex acts as a smart router for AI inference, sitting between your application and a pool of GPU providers. At request time, it evaluates cost, latency, and live availability across 5 providers and sends the job to the current winner — think of it as an ad-exchange model applied to inference. If a provider returns a 429 (rate limit) or 402 (quota exceeded), Flopex automatically reroutes to the next best option with no intervention needed. It also monitors provider model catalogs and flags deprecations before they break your pipeline. The API is OpenAI-compatible, so switching is a one-line change. With 16,000+ models in the catalog, it covers the breadth of open and hosted models available today. The core premise is straightforward: individual providers have bad days; a market-routing layer smooths that out while cutting costs.
Used For
AI tool for creators toolkit workflows
Pricing
Pricing not published
Pricing not published — routing economics depend on per-provider rates. See flopex.ai.
Pros & Cons
Pros
• Real-time routing sends each inference job to the cheapest, fastest, available GPU provider • Automatic failover on 429 (rate limit) or 402 (quota) errors reroutes to the next best option • OpenAI-compatible API, so switching is roughly a one-line change • Catalog spans 16,000+ models across 5 live providers • Monitors provider model catalogs and flags deprecations before they break your pipeline
Cons
• Adds a routing layer between your app and providers, which is one more dependency to trust • Benefit is largest at scale — light usage may not see meaningful savings • Currently spans 5 providers, so coverage depends on those partners' uptime
Questions & Answers
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